A small-object segmentation algorithm for intercluster imbalance based on histogram- and stickiness-aware boosting

Traditional fuzzy C-means (FCM) clustering and its variants, as important unsupervised image segmentation methods, have average performance, usually perform poorly in the face of unbalanced datasets, and are sensitive to the initial position. Therefore, in this paper, we propose a small-object segme...

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Bibliographic Details

Published in:	Engineering applications of artificial intelligence Vol. 163; p. 113045
Main Authors:	Chong, Qianpeng, Wen, Jiakun, Wan, Qianhui, Zeng, Wenyi, Yin, Qian, Cheng, Dong
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01.01.2026
Subjects:	Fuzzy C-means algorithm Image segmentation Small-object detection Unequal clusters Image segmentation Unequal clusters Fuzzy C-means algorithm Small-object detection
ISSN:	0952-1976
Online Access:	Get full text
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